Classify & Route Documents with Machine Learning Intelligence

Sort 10,000+ documents daily with 99% accuracy. Automatically identify document types and route them to the right workflows. Reduce manual sorting time by 95%.

The Document Classification Challenge

Organizations receive thousands of mixed documents daily—invoices, contracts, forms, receipts, emails. Manual sorting and routing creates bottlenecks.

Manual Sorting

Staff spend hours daily manually sorting and routing documents to appropriate departments and workflows.

Misclassification

5-15% of documents are routed incorrectly, causing delays, compliance issues, and missed SLAs.

Processing Delays

Document backlogs during peak periods create processing delays and impact customer service quality.

Labor Costs

Organizations spend €50,000-200,000 annually on manual document classification and routing labor.

How AI Document Classification Works

Boaweb AI builds intelligent classification systems using computer vision and NLP to automatically identify document types and route them instantly.

1

Document Ingestion & Pre-Processing

AI monitors all document sources—email attachments, scanners, cloud storage, web uploads, fax, mobile apps. Computer vision automatically detects document orientation, removes noise, enhances quality, and separates multi-page bundles into individual documents. The system handles any format: PDF, images, Word docs, scanned files.

2

Multi-Model Classification

Deep learning models analyze visual layout, text content, metadata, and structural patterns simultaneously. The AI identifies 100+ document types: invoices, purchase orders, contracts, NDAs, tax forms, bank statements, receipts, insurance claims, medical records, applications, and custom document types. Classification accuracy reaches 99%+ through ensemble model voting.

3

Confidence Scoring & Validation

Each classification receives a confidence score (0-100%). High-confidence classifications (95%+) proceed automatically. Medium-confidence documents (80-95%) trigger additional validation checks using secondary models. Low-confidence items are flagged for human review with suggested classifications, ensuring accuracy while maintaining speed.

4

Intelligent Routing & Workflow Automation

Based on document type, the system routes files to appropriate workflows, departments, or processing systems automatically. Invoices go to AP automation, contracts to CLM, forms to data extraction, receipts to expense systems. Routing rules can be customized based on content, metadata, urgency, or business logic.

5

Continuous Learning & Adaptation

The classification system learns from every document and human correction. When new document types appear, the AI adapts automatically after seeing 5-10 examples. Models retrain periodically with accumulated data, continuously improving accuracy. The system tracks classification metrics, error patterns, and processing volumes in real-time dashboards.

Ready to Automate Document Classification?

Join 190+ organizations using Boaweb AI to eliminate manual document sorting and achieve 99% classification accuracy.

Real Results from AI Document Classification

99.4%
Average classification accuracy across all document types
96%
Reduction in manual document sorting and routing time
0.3s
Average time to classify and route a single document

Case Study: Swedish Financial Services Company

A financial services firm in Stockholm received 25,000+ mixed documents monthly via email, mail, and web uploads: loan applications, bank statements, ID documents, tax forms, contracts, and correspondence. A 9-person mailroom team manually sorted and routed documents, taking 2-5 minutes per document with 12% misrouting rate causing significant delays.

Boaweb AI Solution: We deployed an AI classification system that automatically ingested documents from all channels, classified them into 35+ document types with 99.6% accuracy, extracted key metadata, and routed each to the appropriate processing workflow—loan applications to underwriting, statements to verification, IDs to KYC systems.

Results after 5 months: Classification time reduced from 3 minutes to 0.4 seconds per document, misrouting rate dropped from 12% to 0.6%, mailroom team reduced from 9 to 2 (handling exceptions only), document processing SLA improved by 68%, customer onboarding time decreased by 45%, and annual operational savings of €420,000 achieved.

Document Types We Classify

Financial Documents

Invoices, receipts, purchase orders, bank statements, payment confirmations, credit memos, remittance advice

Legal Documents

Contracts, NDAs, MSAs, SLAs, amendments, terms & conditions, legal notices, court documents

HR Documents

Employment contracts, resumes/CVs, offer letters, time sheets, expense reports, performance reviews

Customer Documents

Applications, registration forms, surveys, feedback forms, support tickets, correspondence

Healthcare Documents

Patient records, insurance claims, prescriptions, lab results, referrals, medical history forms

Government & Compliance

Tax forms, licenses, permits, compliance certificates, regulatory filings, audit documents

Logistics Documents

Shipping labels, bills of lading, packing slips, delivery notes, customs declarations

Identity Documents

Passports, driver's licenses, national IDs, visas, birth certificates, utility bills (for proof of address)

Custom Document Types

Any industry-specific or organization-specific document types can be trained with 5-10 examples

Key Classification Capabilities

Multi-Language Support

Classify documents in 25+ languages including Swedish, English, German, French, Spanish, and more with consistent accuracy.

Hierarchical Classification

Multi-level classification: document type → sub-type → category. Example: Contract → Vendor Agreement → SaaS Subscription.

Metadata Extraction

Extract key metadata during classification: dates, parties, amounts, reference numbers for downstream processing.

Batch Processing

Process thousands of documents in parallel for high-volume operations with real-time status tracking.

Custom Routing Rules

Define complex routing logic based on document type, content, metadata, urgency, or business rules.

Analytics & Reporting

Real-time dashboards showing document volumes, classification accuracy, processing times, and error patterns.

Frequently Asked Questions

How does AI classification handle documents it's never seen before?

The AI uses transfer learning and general document understanding to make informed classifications even for unfamiliar document types. It assigns a confidence score and flags new types for human review. After processing 5-10 examples with human feedback, the system learns the new document type and achieves 95%+ accuracy automatically.

Can the system classify documents with multiple pages or mixed content?

Yes. The AI handles multi-page documents and automatically detects page breaks when different documents are scanned together. It can identify when a single file contains multiple document types (e.g., invoice with attached purchase order) and splits them into separate classified documents.

What happens when the AI is uncertain about a classification?

Documents with confidence scores below your threshold (typically 80-90%) are automatically flagged for human review. The system provides the top 3 most likely classifications with confidence scores, making it easy for reviewers to validate or correct. These corrections immediately improve the AI's accuracy.

How long does it take to train the AI on our specific document types?

For standard document types (invoices, contracts, forms), pre-trained models work immediately with 95%+ accuracy. For custom or industry-specific documents, we need 50-100 examples per document type for initial training (takes 1-2 weeks). The system continues learning from every processed document, improving accuracy over time.

Can we integrate classification with our existing document management system?

Yes. We integrate with all major DMS platforms (SharePoint, Box, Google Drive, Documentum, OpenText) and custom systems via APIs. Classified documents can be automatically filed into the correct folders, tagged with metadata, and routed through your existing workflows. We also support webhook notifications for real-time processing.

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